A wireless communication device is described. The wireless communication device includes a receiver. The receiver is configured to determine a time-domain sample of a single carrier based on a received signal. The receiver is also configured to determine an estimated value based on the time-domain sample. The receiver is further configured to perform slicing based on the estimated value to produce a sliced value. The receiver is additionally configured to adapt a frequency-domain coefficient based on the estimated value and the sliced value. The receiver is also configured to perform channel equalization based on the frequency-domain coefficient.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A wireless communication device, comprising: a receiver, wherein the receiver is configured to: determine a time-domain sample of a single carrier based on a received signal; determine an estimated value based on the time-domain sample; perform slicing based on the estimated value and in response to a determination of a channel condition to produce a sliced value; adapt a frequency-domain coefficient based on the estimated value and the sliced value; and perform channel equalization based on the frequency-domain coefficient.
This invention relates to wireless communication devices, specifically improving signal processing in single-carrier communication systems. The device addresses challenges in accurately recovering transmitted data under varying channel conditions, such as multipath fading and interference, which degrade signal quality and increase error rates. The wireless communication device includes a receiver that processes incoming signals to mitigate these issues. The receiver first converts the received signal into a time-domain sample representing the single-carrier transmission. It then estimates the signal value from this sample. Based on the estimated value and the current channel conditions, the receiver performs slicing—a process that approximates the transmitted symbol by mapping the estimated value to the nearest valid symbol in the modulation constellation. The sliced value is then compared to the estimated value to adapt a frequency-domain coefficient, which compensates for channel distortions. Finally, the receiver applies channel equalization using this adapted coefficient to correct the received signal, enhancing data recovery accuracy. This approach dynamically adjusts signal processing parameters based on real-time channel conditions, improving robustness in environments with fluctuating interference and multipath effects. The adaptation of frequency-domain coefficients allows for precise equalization, reducing bit error rates and improving overall communication reliability.
2. The wireless communication device of claim 1 , wherein to determine the time-domain sample, the receiver is configured to: transform the received signal to produce a frequency-domain sample; perform an initial channel equalization on the frequency-domain sample to produce an equalized sample; and inverse transform the equalized sample to produce the time-domain sample of the single carrier.
This invention relates to wireless communication devices, specifically improving signal processing for single-carrier transmissions. The problem addressed is the need for efficient and accurate time-domain sample extraction from received signals, which is critical for reliable data recovery in wireless systems. The device includes a receiver configured to process a received signal to extract a time-domain sample of a single-carrier transmission. The receiver first transforms the received signal into a frequency-domain sample using a mathematical transformation, such as a Fast Fourier Transform (FFT). This conversion facilitates frequency-domain analysis and processing. Next, the receiver performs an initial channel equalization on the frequency-domain sample to compensate for distortions introduced by the communication channel. This equalization step produces an equalized sample, which is then inverse-transformed back into the time-domain to generate the desired time-domain sample. The inverse transformation, such as an Inverse Fast Fourier Transform (IFFT), reconstructs the signal in the time domain for further processing or demodulation. This approach enhances signal integrity by leveraging frequency-domain equalization, which is particularly effective in mitigating inter-symbol interference and other channel impairments common in wireless communications. The method ensures accurate time-domain sample extraction, improving overall system performance and reliability.
3. The wireless communication device of claim 2 , wherein the receiver is configured to: estimate a channel based on a received reference signal; initialize the frequency-domain coefficient based on the estimated channel; and perform the initial channel equalization based on the initialized frequency-domain coefficient.
This invention relates to wireless communication devices, specifically improving channel equalization in wireless receivers. The problem addressed is the need for accurate and efficient channel estimation and equalization to mitigate signal distortion caused by multipath fading and interference in wireless communication channels. The wireless communication device includes a receiver configured to estimate the communication channel based on a received reference signal. The receiver then initializes frequency-domain coefficients using the estimated channel information. These initialized coefficients are applied to perform initial channel equalization, compensating for distortions in the received signal. The equalization process enhances signal quality by adjusting the received signal in the frequency domain to counteract the effects of the channel. The receiver may further include an analog-to-digital converter (ADC) to convert the received analog signal into a digital signal, followed by a digital signal processor (DSP) that performs the channel estimation and equalization. The reference signal, such as a pilot or training sequence, is used to derive the channel characteristics, which are then translated into frequency-domain coefficients. These coefficients are applied to the received data symbols to correct for channel-induced distortions, improving signal integrity and reliability. This approach ensures robust communication by dynamically adapting to varying channel conditions, which is critical for maintaining high data rates and low error rates in wireless systems. The invention is particularly useful in modern wireless standards where high spectral efficiency and reliable communication are essential.
4. The wireless communication device of claim 1 , wherein the channel condition is based on at least one of Doppler spread, delay spread, or wireless communication device movement.
A wireless communication device is configured to adapt its communication parameters based on real-time channel conditions to improve performance in dynamic environments. The device monitors and evaluates channel conditions, which may include factors such as Doppler spread, delay spread, or the movement of the wireless communication device itself. These conditions affect signal quality and reliability, particularly in scenarios where the device is mobile or operating in environments with multipath interference. By assessing these parameters, the device can dynamically adjust transmission settings, such as modulation schemes, coding rates, or power levels, to maintain optimal communication performance. This adaptive approach ensures robust connectivity in varying conditions, reducing errors and improving efficiency. The system may also incorporate additional techniques, such as beamforming or antenna selection, to further enhance signal integrity. The solution is particularly useful in applications where environmental factors or device mobility significantly impact wireless communication quality.
5. The wireless communication device of claim 1 , wherein the receiver is configured to initialize a time-domain coefficient to zero.
A wireless communication device includes a receiver that initializes a time-domain coefficient to zero. The device operates in a wireless communication system where signals are processed in the time domain. The receiver is designed to handle signal reception and processing, including the initialization of time-domain coefficients to zero. This initialization step is part of a signal processing technique that may involve filtering, equalization, or other time-domain operations. By setting the time-domain coefficient to zero, the receiver ensures a clean starting point for subsequent signal processing tasks, which can improve signal quality and reduce interference. The device may also include a transmitter for sending signals and a processor for managing communication functions. The initialization of the time-domain coefficient to zero is particularly useful in scenarios where precise signal timing and synchronization are critical, such as in high-speed data transmission or real-time communication systems. This approach helps maintain signal integrity and minimizes errors during data transmission and reception.
6. The wireless communication device of claim 1 , wherein the receiver is configured to adapt a time-domain coefficient based on the estimated value and the sliced value.
This invention relates to wireless communication devices, specifically improving signal reception by adapting time-domain coefficients. The problem addressed is the need for accurate signal demodulation in wireless systems, where interference and noise can distort received signals. The device includes a receiver that processes incoming signals by estimating a value from the received signal and generating a sliced value, which is a quantized or decision-based approximation of the estimated value. The receiver then adapts a time-domain coefficient based on the difference or relationship between the estimated value and the sliced value. This adaptation improves signal quality by dynamically adjusting the receiver's response to varying channel conditions. The time-domain coefficient may be part of an equalization or filtering process, allowing the receiver to compensate for distortions such as multipath fading or inter-symbol interference. The adaptation mechanism may involve iterative updates or feedback loops to refine the coefficient over time. This approach enhances the device's ability to accurately recover transmitted data, particularly in challenging environments with high noise or interference levels. The invention is applicable to various wireless standards, including cellular, Wi-Fi, and IoT communication systems.
7. The wireless communication device of claim 1 , wherein the receiver is configured to: determine a feedback value based on a time-domain coefficient; and determine the estimated value based on the feedback value and the time-domain sample.
This invention relates to wireless communication devices, specifically improving signal processing in receivers to enhance communication reliability. The problem addressed is the need for accurate signal estimation in wireless receivers, particularly in environments with interference or noise, to improve data recovery and reduce errors. The wireless communication device includes a receiver configured to process incoming signals. The receiver determines a feedback value based on a time-domain coefficient, which is derived from the received signal. This feedback value is then used to refine the estimation of the signal by combining it with a time-domain sample of the received signal. The time-domain sample represents a portion of the signal in its original form before further processing. By incorporating the feedback value, the receiver can more accurately reconstruct the transmitted signal, compensating for distortions or noise introduced during transmission. The feedback mechanism allows the receiver to dynamically adjust its estimation process, improving performance in real-time communication scenarios. This approach is particularly useful in systems where signal integrity is critical, such as in high-speed data transmission or low-power wireless networks. The use of time-domain coefficients ensures that the feedback is based on the most relevant signal characteristics, enhancing the overall accuracy of the estimation. The invention provides a robust method for signal processing that adapts to varying channel conditions, reducing errors and improving communication reliability.
8. The wireless communication device of claim 7 , wherein the receiver is configured to determine the estimated value as a difference between the feedback value and the time-domain sample.
Wireless communication systems often face challenges in accurately estimating and compensating for signal distortions, such as those caused by multipath fading or interference. These distortions can degrade signal quality and reduce communication reliability. To address this, a wireless communication device includes a receiver configured to process received signals to mitigate such distortions. The receiver generates a feedback value based on the received signal and compares it to a time-domain sample of the signal. By calculating the difference between the feedback value and the time-domain sample, the receiver determines an estimated value that represents the distortion or error in the signal. This estimated value can then be used to adjust the received signal, improving signal integrity and communication performance. The feedback value may be derived from a demodulated version of the signal, allowing for precise error estimation and correction. This approach enhances the device's ability to handle signal impairments, particularly in dynamic or noisy environments, ensuring more reliable wireless communication.
9. The wireless communication device of claim 1 , wherein the time-domain sample is based on a single-carrier frequency-division multiple access (SC-FDMA) signal.
This invention relates to wireless communication devices, specifically those designed to process time-domain samples derived from single-carrier frequency-division multiple access (SC-FDMA) signals. SC-FDMA is a modulation technique used in uplink transmissions in wireless communication systems, such as LTE, to reduce peak-to-average power ratio (PAPR) and improve power efficiency. The device includes a receiver configured to obtain a time-domain sample from an SC-FDMA signal. The SC-FDMA signal is generated by transforming frequency-domain data into a time-domain waveform using discrete Fourier transform (DFT) precoding, followed by an inverse fast Fourier transform (IFFT). This process allows multiple users to share the same frequency resource while maintaining low PAPR, which is critical for mobile devices with limited power budgets. The device may further include a processor to analyze or process the time-domain sample for tasks such as channel estimation, demodulation, or error correction. The use of SC-FDMA ensures efficient spectrum utilization and compatibility with existing wireless standards. This invention is particularly useful in mobile communication systems where power efficiency and spectral efficiency are key performance metrics.
10. A method performed by a wireless communication device, comprising: determining a time-domain sample of a single carrier based on a received signal; determining an estimated value based on the time-domain sample; performing slicing based on the estimated value and in response to a determination of a channel condition to produce a sliced value; adapting a frequency-domain coefficient based on the estimated value and the sliced value; and performing channel equalization based on the frequency-domain coefficient.
This invention relates to wireless communication systems, specifically to techniques for improving signal processing in single-carrier communication schemes. The problem addressed is the need for efficient channel equalization in wireless devices to mitigate signal distortion caused by multipath fading and other channel impairments. The method involves a wireless communication device processing a received signal to extract a time-domain sample from a single-carrier transmission. The device then estimates a value from this sample, which may represent a preliminary symbol or channel state. Using this estimated value, the device performs slicing—a process of approximating the closest valid symbol from a predefined constellation—to produce a sliced value. The slicing operation is conditionally applied based on an assessment of the channel conditions, ensuring robustness in varying environments. The device then adapts a frequency-domain coefficient using both the estimated and sliced values. This adaptation refines the equalization process by adjusting the coefficients to better compensate for channel distortions. Finally, the device performs channel equalization by applying the adapted frequency-domain coefficients to the received signal, improving signal integrity and reducing errors in symbol detection. This approach enhances the reliability of single-carrier wireless communications by dynamically adjusting equalization parameters based on real-time channel conditions and signal estimates.
11. The method of claim 10 , wherein determining the time-domain sample comprises: transforming the received signal to produce a frequency-domain sample; performing an initial channel equalization on the frequency-domain sample to produce an equalized sample; and inverse transforming the equalized sample to produce the time-domain sample of the single carrier.
This invention relates to signal processing in communication systems, specifically for improving the accuracy of time-domain sample determination in single-carrier modulation schemes. The problem addressed is the need for efficient and accurate signal reconstruction in systems where received signals are corrupted by channel distortions, such as multipath fading or interference. Traditional methods often struggle with computational complexity or fail to adequately compensate for channel effects, leading to degraded signal quality. The method involves transforming a received signal from the time domain to the frequency domain to produce a frequency-domain sample. This transformation allows for more effective processing of the signal in the frequency domain, where channel distortions can be more easily identified and corrected. An initial channel equalization is then performed on the frequency-domain sample to compensate for the effects of the communication channel, producing an equalized sample. This equalization step is critical for mitigating distortions caused by the channel, ensuring that the signal can be accurately reconstructed. Finally, the equalized sample is inverse-transformed back to the time domain, resulting in a time-domain sample of the original single-carrier signal. This process enhances signal integrity by leveraging frequency-domain processing to improve the accuracy of time-domain reconstruction, making it particularly useful in high-speed or high-noise communication environments.
12. The method of claim 11 , further comprising: estimating a channel based on a received reference signal; initializing the frequency-domain coefficient based on the estimated channel; and performing the initial channel equalization based on the initialized frequency-domain coefficient.
This invention relates to wireless communication systems, specifically methods for improving channel equalization in signal processing. The problem addressed is the need for accurate and efficient channel estimation and equalization to mitigate signal distortion caused by multipath fading and interference in wireless transmissions. The method involves receiving a reference signal, such as a pilot or training sequence, to estimate the channel characteristics. The channel estimation process determines the impulse response or frequency response of the communication channel, which is then used to initialize frequency-domain coefficients. These coefficients represent the inverse or corrected version of the channel response, compensating for distortions. The initialized coefficients are applied to perform initial channel equalization, which adjusts the received signal to reduce inter-symbol interference and improve signal integrity. The method may also include iterative refinement of the channel estimation and equalization process, where the initial equalization output is used to further refine the channel estimate. This iterative approach enhances accuracy, particularly in dynamic or high-interference environments. The technique is applicable to various wireless standards, including OFDM-based systems, where frequency-domain processing is critical for performance. The invention aims to improve signal quality, data throughput, and reliability in wireless communications.
13. The method of claim 10 , wherein the channel condition is based on at least one of Doppler spread, delay spread, or wireless communication device movement.
A method for wireless communication involves assessing channel conditions to optimize data transmission. The technique determines channel conditions by evaluating at least one of Doppler spread, delay spread, or the movement of a wireless communication device. Doppler spread measures frequency shifts caused by relative motion between the transmitter and receiver, while delay spread assesses multipath signal propagation delays. Device movement is tracked to predict signal variations due to mobility. These factors are used to adapt transmission parameters, such as modulation schemes or coding rates, to improve reliability and efficiency in dynamic wireless environments. The method may also involve selecting transmission modes or adjusting antenna configurations based on the assessed conditions. By dynamically adapting to channel variations, the technique enhances performance in scenarios with high mobility, multipath interference, or rapidly changing signal conditions. The approach is particularly useful in applications like mobile communications, vehicular networks, or high-speed wireless systems where channel characteristics fluctuate frequently. The method ensures robust data transmission by continuously monitoring and responding to environmental and mobility-induced changes in the wireless channel.
14. The method of claim 10 , further comprising initializing a time-domain coefficient to zero.
A method for processing signals in a communication system involves adjusting a time-domain coefficient to improve signal quality or performance. The method includes initializing a time-domain coefficient to zero before performing further operations. This initialization step ensures that the coefficient starts from a neutral or baseline state, which may be necessary for accurate signal processing, noise reduction, or synchronization in wireless or wired communication systems. The time-domain coefficient may be part of a filter, equalizer, or other signal processing module that adapts to changing channel conditions or interference. By resetting the coefficient to zero, the system can avoid residual effects from previous operations, ensuring reliable performance in dynamic environments. This technique is particularly useful in systems where signal integrity is critical, such as in high-speed data transmission or real-time communication applications. The method may be implemented in hardware, software, or a combination of both, depending on the specific requirements of the communication system.
15. The method of claim 10 , further comprising adapting a time-domain coefficient based on the estimated value and the sliced value.
A method for signal processing involves adjusting a time-domain coefficient based on an estimated value and a sliced value. The technique is used in systems where precise signal reconstruction or error correction is needed, such as in communication systems, audio processing, or data transmission. The method addresses the challenge of inaccuracies in signal representation due to quantization or noise, which can degrade performance. By dynamically adapting the time-domain coefficient, the system improves signal fidelity or reduces distortion. The coefficient adjustment is derived from a comparison between the estimated value, which may be obtained through predictive modeling or filtering, and the sliced value, which represents a quantized or thresholded version of the signal. This adaptation process ensures that the processed signal more closely matches the desired output, enhancing overall system accuracy and reliability. The method may be applied in conjunction with other signal processing techniques, such as filtering, equalization, or error correction, to further refine the signal. The adaptation of the time-domain coefficient allows for real-time adjustments, making the system more robust against varying signal conditions.
16. The method of claim 10 , further comprising: determining a feedback value based on a time-domain coefficient; and determining the estimated value based on the feedback value and the time-domain sample.
This invention relates to signal processing, specifically methods for estimating values in time-domain signals. The problem addressed is improving the accuracy of signal estimation by incorporating feedback mechanisms that adjust based on time-domain coefficients. The method involves processing a time-domain sample of a signal to generate an estimated value. To enhance accuracy, a feedback value is determined using a time-domain coefficient, which is derived from the signal's characteristics. The estimated value is then refined by combining this feedback value with the original time-domain sample. This approach allows for dynamic adjustments in the estimation process, reducing errors caused by signal variations or noise. The feedback mechanism ensures that the estimated value adapts to changes in the signal, improving overall performance in applications such as communication systems, audio processing, or sensor data analysis. The method leverages time-domain coefficients to provide real-time corrections, making it suitable for systems requiring precise signal reconstruction or real-time processing. By integrating feedback into the estimation process, the invention achieves more reliable and accurate signal representations compared to traditional methods that rely solely on static coefficients or fixed algorithms.
17. The method of claim 16 , further comprising determining the estimated value as a difference between the feedback value and the time-domain sample.
A system and method for signal processing involves comparing a feedback value with a time-domain sample to determine an estimated value. The feedback value is derived from a feedback signal, which is generated by processing an input signal through a feedback path. This feedback path includes a feedback filter that shapes the feedback signal to match the characteristics of the input signal. The time-domain sample is obtained from the input signal, representing a discrete point in the signal's waveform. The estimated value is calculated as the difference between the feedback value and the time-domain sample, providing a measure of the discrepancy between the processed feedback signal and the original input signal. This discrepancy can be used for error correction, signal alignment, or adaptive filtering in applications such as communication systems, audio processing, or control systems. The method ensures accurate signal reconstruction or compensation by dynamically adjusting the feedback filter based on the estimated value, improving system performance and reducing distortion. The approach is particularly useful in scenarios where precise signal matching or real-time adjustments are required.
18. The method of claim 10 , wherein the time-domain sample is based on a single-carrier frequency-division multiple access (SC-FDMA) signal.
Communication system signal processing. This invention relates to methods for processing communication signals, particularly those employing Single-Carrier Frequency-Division Multiple Access (SC-FDMA). The problem addressed involves generating or utilizing time-domain samples of such signals. Specifically, a time-domain sample is derived or characterized, with the underlying signal structure being that of an SC-FDMA signal. This means the sample represents a specific point or segment of a communication signal that has been modulated and transmitted using the SC-FDMA technique. The SC-FDMA technique is known for its ability to offer advantages such as lower peak-to-average power ratio compared to other multi-carrier schemes, making it suitable for uplink transmissions in mobile communication systems. Therefore, the present invention focuses on the specific characteristics and generation of time-domain representations for signals utilizing this particular access method.
19. A non-transitory tangible computer-readable medium storing computer-executable code, comprising: code for causing a processor to determine a time-domain sample of a single carrier based on a received signal; code for causing the processor to determine an estimated value based on the time-domain sample; code for causing the processor to perform slicing based on the estimated value and in response to a determination of a channel condition to produce a sliced value; code for causing the processor to adapt a frequency-domain coefficient based on the estimated value and the sliced value; and code for causing the processor to perform channel equalization based on the frequency-domain coefficient.
This invention relates to signal processing in communication systems, specifically improving channel equalization for single-carrier transmissions. The technology addresses the challenge of accurately recovering transmitted data in the presence of channel distortions, such as multipath fading and intersymbol interference, which degrade signal quality. Traditional equalization methods often struggle with dynamic channel conditions, leading to errors in data detection. The invention provides a computer-readable medium storing executable code for a processor to perform enhanced channel equalization. The system first captures a time-domain sample of a received single-carrier signal. From this sample, an estimated value is derived, representing an initial approximation of the transmitted symbol. The processor then performs slicing—quantizing the estimated value to the nearest valid symbol—only if certain channel conditions are met, ensuring robustness against noise and interference. The sliced value and the estimated value are used to adapt a frequency-domain coefficient, which is a filter parameter optimized for the current channel state. Finally, the processor applies channel equalization using this adapted coefficient to correct distortions in the received signal, improving data recovery accuracy. This approach dynamically adjusts equalization parameters based on real-time channel conditions, enhancing performance in varying environments. The method is particularly useful in wireless and high-speed communication systems where channel characteristics change rapidly.
20. The computer-readable medium of claim 19 , wherein the code for causing the processor to determine the time-domain sample comprises: code for causing the processor to transform the received signal to produce a frequency-domain sample; code for causing the processor to perform an initial channel equalization on the frequency-domain sample to produce an equalized sample; and code for causing the processor to inverse transform the equalized sample to produce the time-domain sample of the single carrier.
This invention relates to signal processing in communication systems, specifically for transforming and equalizing single-carrier signals in the frequency domain to improve reception quality. The problem addressed is the need for efficient signal processing techniques that reduce computational complexity while maintaining signal integrity in single-carrier communication systems, such as those used in wireless or wired networks. The invention involves a method for processing a received signal to produce a time-domain sample of a single-carrier signal. The process begins by transforming the received signal from the time domain to the frequency domain, generating a frequency-domain sample. This transformation allows for more efficient processing of the signal in the frequency domain. Next, an initial channel equalization is performed on the frequency-domain sample to compensate for distortions introduced during transmission, producing an equalized sample. Channel equalization helps mitigate the effects of multipath fading and other channel impairments. Finally, the equalized sample is inverse-transformed back to the time domain, resulting in a time-domain sample of the original single-carrier signal. This approach leverages frequency-domain processing to simplify equalization and reduce computational overhead compared to traditional time-domain equalization methods. The technique is particularly useful in systems where signal integrity is critical, such as high-speed data transmission or wireless communication networks. By performing initial equalization in the frequency domain, the method ensures that the final time-domain sample is accurately reconstructed, improving overall system performance.
21. The computer-readable medium of claim 19 , further comprising code for causing the processor to initialize a time-domain coefficient to zero.
This invention relates to digital signal processing, specifically methods for initializing time-domain coefficients in computational systems. The problem addressed is the need for efficient and accurate initialization of time-domain coefficients in signal processing algorithms, which is critical for reducing computational overhead and ensuring numerical stability in applications such as audio processing, telecommunications, and digital filtering. The invention involves a computer-readable medium containing instructions for a processor to perform operations related to signal processing. A key aspect is the initialization of a time-domain coefficient to zero, which helps in resetting or preparing the coefficient for subsequent processing steps. This initialization step is part of a broader method that includes generating a time-domain signal, transforming it into a frequency-domain representation, and applying a filter to the transformed signal. The zero initialization ensures that the coefficient starts in a neutral state, preventing residual values from affecting subsequent computations. The invention also includes steps for generating a time-domain signal, transforming it into a frequency-domain representation using a discrete Fourier transform (DFT), and applying a filter to the transformed signal. The filtered signal is then converted back to the time domain using an inverse DFT. The zero initialization of the time-domain coefficient is particularly important in iterative or recursive processing, where residual values could introduce errors or artifacts. This approach improves computational efficiency and accuracy in signal processing tasks.
22. The computer-readable medium of claim 19 , further comprising code for causing the processor to adapt a time-domain coefficient based on the estimated value and the sliced value.
This invention relates to signal processing, specifically to methods for adjusting time-domain coefficients in a signal processing system. The problem addressed is the need to improve signal accuracy by dynamically adapting coefficients in real-time processing. The system estimates a value from an input signal and compares it to a sliced value, which is a quantized or thresholded version of the signal. The adaptation process adjusts a time-domain coefficient based on the difference between the estimated value and the sliced value. This adjustment helps refine the signal representation, reducing errors and enhancing performance in applications like communication systems, audio processing, or data transmission. The adaptation mechanism may involve iterative updates to the coefficient, ensuring continuous optimization. The invention builds on prior techniques by incorporating real-time feedback from the sliced value to dynamically adjust coefficients, improving signal fidelity and system robustness. The method is implemented in software or firmware, executed by a processor, and may be part of a larger signal processing pipeline. The adaptation process ensures that the system remains responsive to changing signal conditions, maintaining high accuracy in various operating environments.
23. An apparatus, comprising: means for determining a time-domain sample of a single carrier based on a received signal; means for determining an estimated value based on the time-domain sample; means for performing slicing based on the estimated value and in response to a determination of a channel condition to produce a sliced value; means for adapting a frequency-domain coefficient based on the estimated value and the sliced value; and means for performing channel equalization based on the frequency-domain coefficient.
This invention relates to wireless communication systems, specifically to techniques for improving signal processing in single-carrier transmission schemes. The problem addressed is the need for efficient channel equalization in single-carrier systems, particularly under varying channel conditions, to enhance signal integrity and reduce errors. The apparatus includes a mechanism to extract a time-domain sample from a received signal in a single-carrier communication system. Another mechanism estimates a value from this time-domain sample, which is then used in a slicing operation. The slicing process is conditionally executed based on an assessment of the channel state, producing a sliced value. The apparatus further includes a component that adjusts a frequency-domain coefficient using both the estimated value and the sliced value. Finally, a channel equalization process is performed using the adapted frequency-domain coefficient to compensate for distortions introduced by the communication channel. This approach dynamically adapts the equalization process to the current channel conditions, improving signal recovery performance in single-carrier systems. The system avoids fixed equalization parameters, instead using real-time adjustments to enhance reliability in environments with fluctuating channel characteristics.
24. The apparatus of claim 23 , wherein the means for determining the time-domain sample comprises: means for transforming the received signal to produce a frequency-domain sample; means for performing an initial channel equalization on the frequency-domain sample to produce an equalized sample; and means for inverse transforming the equalized sample to produce the time-domain sample of the single carrier.
This invention relates to signal processing in communication systems, specifically for converting a received signal into a time-domain sample in single-carrier modulation schemes. The problem addressed is the efficient and accurate transformation of received signals from the time domain to the frequency domain and back, while compensating for channel distortions through equalization. The apparatus includes a means for transforming the received signal into a frequency-domain sample, which involves converting the time-domain signal into its frequency components. This is followed by a means for performing initial channel equalization on the frequency-domain sample to correct distortions caused by the communication channel, producing an equalized sample. Finally, a means for inverse transforming the equalized sample converts it back into the time domain, yielding a time-domain sample of the original single-carrier signal. The equalization step ensures that the recovered signal is free from channel-induced errors, improving signal integrity and reliability. This process is particularly useful in wireless and wired communication systems where signals are subject to multipath fading and other channel impairments. By performing equalization in the frequency domain, the system can more effectively mitigate these distortions compared to time-domain equalization alone. The invention enhances signal processing efficiency and accuracy in single-carrier communication systems.
25. The apparatus of claim 23 , further comprising means for initializing a time-domain coefficient to zero.
This invention relates to signal processing systems, specifically apparatuses for initializing time-domain coefficients in digital signal processing (DSP) applications. The problem addressed is the need to reset or initialize time-domain coefficients to a known state, typically zero, to ensure accurate signal processing operations such as filtering, modulation, or demodulation. Uninitialized coefficients can lead to errors, instability, or unwanted artifacts in processed signals. The apparatus includes a digital signal processor (DSP) or a specialized hardware module configured to process signals in the time domain. The key feature is a means for initializing a time-domain coefficient to zero, which ensures that the coefficient starts at a defined value before processing begins. This initialization step is critical in applications where previous state information could corrupt new computations, such as in adaptive filtering or real-time signal conditioning. The apparatus may also include additional components, such as memory storage for coefficient values, input/output interfaces for signal data, and control logic to manage the initialization process. The initialization means can be implemented in hardware (e.g., a reset circuit) or software (e.g., a firmware routine). The invention ensures reliable signal processing by eliminating residual values that could otherwise affect subsequent operations. This is particularly useful in systems requiring precise signal reconstruction or real-time adjustments.
26. The apparatus of claim 23 , further comprising means for adapting a time-domain coefficient based on the estimated value and the sliced value.
This invention relates to signal processing systems, specifically apparatuses for adjusting time-domain coefficients in communication or signal processing applications. The problem addressed involves improving signal accuracy by dynamically adapting coefficients based on estimated and sliced values, which are derived from signal processing operations. The apparatus includes a signal processing unit that generates an estimated value of a signal parameter and a sliced value, which is a quantized or thresholded version of the estimated value. The apparatus further includes an adaptation mechanism that adjusts a time-domain coefficient based on the difference or relationship between the estimated value and the sliced value. This adjustment improves signal reconstruction, error correction, or equalization in communication systems, such as in digital modems or signal demodulators. The adaptation mechanism may use feedback from the sliced value to refine the time-domain coefficient, ensuring that the processed signal more closely matches the desired output. This dynamic adjustment compensates for distortions, noise, or channel impairments, enhancing overall system performance. The apparatus may be part of a larger signal processing chain, such as in an equalizer, decoder, or synchronization system, where precise coefficient adaptation is critical for reliable signal recovery. The invention aims to provide a robust and efficient method for real-time coefficient adjustment in signal processing applications.
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September 18, 2020
February 1, 2022
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